Bayesian deep learning framework for updating landslide susceptibility assessment based on epistemic uncertainty with InSAR augmented samples

Chongzhi Chen; Baiyu Dong; Jingya Lin; Zhangquan Shen; Luming Fang; Yuhui Weng; Ke Wang

doi:10.1016/j.jrmge.2025.07.008

Bayesian deep learning framework for updating landslide susceptibility assessment based on epistemic uncertainty with InSAR augmented samples

Chongzhi Chen
, Baiyu Dong
, Jingya Lin
, Zhangquan Shen
, Luming Fang
, Yuhui Weng
, Ke Wang

Forestry

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	4216-4232
Number of pages	17
Journal	Journal of Rock Mechanics and Geotechnical Engineering
Volume	18
Issue number	6
DOIs	https://doi.org/10.1016/j.jrmge.2025.07.008
State	Published - Jun 2026

ASJC Scopus Subject Areas

Geotechnical Engineering and Engineering Geology

Keywords

Bayesian deep learning
Epistemic uncertainty
InSAR
Landslide susceptibility updating

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10.1016/j.jrmge.2025.07.008

Cite this

@article{5f0d2bef572c4c57b4fb2aed2f903b09,

title = "Bayesian deep learning framework for updating landslide susceptibility assessment based on epistemic uncertainty with InSAR augmented samples",

keywords = "Bayesian deep learning, Epistemic uncertainty, InSAR, Landslide susceptibility updating",

author = "Chongzhi Chen and Baiyu Dong and Jingya Lin and Zhangquan Shen and Luming Fang and Yuhui Weng and Ke Wang",

note = "Publisher Copyright: {\textcopyright} 2026 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences",

year = "2026",

month = jun,

doi = "10.1016/j.jrmge.2025.07.008",

language = "English",

volume = "18",

pages = "4216--4232",

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}

TY - JOUR

T1 - Bayesian deep learning framework for updating landslide susceptibility assessment based on epistemic uncertainty with InSAR augmented samples

AU - Chen, Chongzhi

AU - Dong, Baiyu

AU - Lin, Jingya

AU - Shen, Zhangquan

AU - Fang, Luming

AU - Weng, Yuhui

AU - Wang, Ke

PY - 2026/6

Y1 - 2026/6

KW - Bayesian deep learning

KW - Epistemic uncertainty

KW - InSAR

KW - Landslide susceptibility updating

UR - https://www.scopus.com/pages/publications/105039171083

UR - https://www.scopus.com/pages/publications/105039171083#tab=citedBy

U2 - 10.1016/j.jrmge.2025.07.008

DO - 10.1016/j.jrmge.2025.07.008

M3 - Article

AN - SCOPUS:105039171083

SN - 1674-7755

VL - 18

SP - 4216

EP - 4232

JO - Journal of Rock Mechanics and Geotechnical Engineering

JF - Journal of Rock Mechanics and Geotechnical Engineering

IS - 6

ER -

Bayesian deep learning framework for updating landslide susceptibility assessment based on epistemic uncertainty with InSAR augmented samples

ASJC Scopus Subject Areas

Keywords

Access to Document

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